2020 Fiscal Year Research-status Report
Modeling of ductile failure in multi-phase metallic materials
| Project/Area Number |
20K14604
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| Research Institution | The University of Tokyo |
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Principal Investigator |
ブリフォ ファビャン 東京大学, 大学院工学系研究科(工学部), 特任研究員 (70836890)
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| Project Period (FY) |
2020-04-01 – 2022-03-31
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| Keywords | Crystal plasticity / X-CT / Finite element method / Ductile failure |
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| Outline of Annual Research Achievements |
The purpose of this research is to establish a damage model to predict ductile failure in multi-phase metallic materials. By combining characterization techniques and finite element simulations, the applicant is developing a numerical framework to predict the stress-strain curve up-to failure of metallic materials. The specific progress is described below:
(1) Microstructure modeling: A numerical procedure based on a a multi-scale anisotropic tessellation has been developed for the modeling of 2D and 3D microstructures based on EBSD data.
(2) Void formation: By combining SEM observations of void formation and crystal plasticity simulations, a procedure was developed for the estimation of damage initiation fracture locus.
(3) The model was implemented in a crystal plasticity framework. To this end, a non-local damage initiation and evolution model was developed to take into account the effect of the mesh size.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
As originally planned, we were able to experimentally characterize void formation in multi-phase alloy from surface observations and implement a ductile damage initiation model within a crystal plasticity framework. A numerical method was proposed for the calibration of the damage initiation model based on the combined results of experiments and simulations.
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| Strategy for Future Research Activity |
In the future, the evolution of void size will be statistically quantified by SEM and X-CT measurement in order to calibrate the already implemented non-local damage evolution model. Finally, additional experiments and simulations will be carried out on different materials with varying microstructures to confirm the validity and predictive capabilities of the proposed model.
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